div class="content">About Thea Energy:
Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.
We are seeking a visionary Senior Product Manager to lead our Machine Learning Operations initiatives, focusing on developing retail-specific models and a user-friendly Model Workbench that empowers marketers to harness the power of Machine Learning without the need for deep technical expertise. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/.
If you are a recent U.S. college / university graduate possessing 1-2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate. Learn more about our total rewards at https://rsmus.com/careers/working-at-rsm/benefits.
p>• Proven leadership in large-scale financial engagements • Managing multi-disciplinary teams • Possessing thought leader-level cloud platform knowledge • Exhibiting mastery of programming languages • Understanding advanced analytical applications in finance • Developing large-scale cloud and data strategies • Overseeing complex project success and client satisfaction • Driving revenue growth through new business opportunities • Building and maintaining senior-level client relationships. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Learn more about our commitment to diversity, equity and inclusion here: . .
New York City, New York16 days ago
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The successful candidate will play a central role in the ownership, enhancement, and governance of the bank’s internal and vendor credit risk models, including risk rating scorecards, expected loss implementation, override monitoring, portfolio analytics, and credit stress testing.
New York, New York30+ days ago
Just as importantly, this role requires someone with actuarial judgment who can understand the business and modeling reasons behind the tools being built, help identify where new tools or enhancements would add value, and ensure those solutions are grounded in real actuarial needs. Responsibilities: Build and maintain actuarial tools and applications — including interactive Shiny and Streamlit apps, Power BI dashboards, and data pipelines — that support model review, model interpretation, data validation, reporting, and decision-making across lines of business.
New York City, NY30+ days ago
Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World''s Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Jersey City, NJ30+ days ago
Job Responsibilities: Focus on the review and risk governance of forecasting and scoring models (including models developed using traditional statistical methods as well as advanced AI/ML techniques) and used by Consumer and Community Banking (CCB) for stress testing, risk and regulatory capital measurement, allowance determination, new origination, etc. Required qualification skills and capabilities: PhD or Master Degree in Statistics, Economics (with a focus on Econometrics), Data Science, Computer Science, Operations Research, Physics, Engineering, Applied Math or a quantitative science.
The role includes mentoring junior team members, optimizing data workflows, and integrating advanced technologies such as cloud computing, AI/ML, and real-time analytics into business processes. You will collaborate with stakeholders to define analytical goals, build predictive models, and deploy scalable solutions using modern data science tools and techniques.
p>This listing represents a sample Financial Modeling Analyst role within venture capital firms, growth-stage investors, and startup-focused investment teams participating in the Career Launch AI Talent Network. The role emphasizes building and maintaining financial models for early- and growth-stage companies, supporting valuation analysis, scenario planning, and portfolio monitoring.
p>Lower middle-market private equity firms, growth equity investors, credit funds, and other buy-side investment platforms within our network may seek analytically strong Financial Modeling Associates to support investment underwriting and decision-making. Individuals in roles like this are deeply involved in building, reviewing, and refining financial models used to evaluate potential investments and monitor portfolio performance.
Contribute to the full modeling lifecycle, including defining the objective and key decision variables, choosing appropriate methodologies, performing advanced quantitative and statistical analysis of large datasets, and communicating results. As an Applied AI ML Senior Associate, within the Consumer Business Modeling team you will utilize cutting edge quantitative and computational techniques and leverage one of the world's largest repositories of consumer data.
More specifically, the candidate will be expected to propose model experimentation ideas during development, recommend expected loss adjustments and guardrails for the final trained models, communicate the benefits and concerns of various technical modeling choices, and influence management decisions related to predictive model usage. Foster a strong risk management culture by maintaining model documentation, managing change management processes, and adhering to established model governance policies and best practices for data and code management.
Jersey City, NJ30+ days ago
As a Quant Model Risk Vice President in the Model Risk Governance and Review team, you will be responsible for assessing and mitigating the risks associated with the models used by Treasury for resolution and recovery, liquidity, stress testing and budgeting. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities.
This is a Director position within our Corporate Treasury & Capital Planning Job Family which is responsible for planning, managing, forecasting and optimizing capital, liquidity and funding resources; governance oversight of Treasury and Capital Planning; setting frameworks, policies and guidelines for appropriate management of these resources; managing regulatory deliverables and exams; managing CCAR/Capital Stress Testing process. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries.
Yorktown Heights, NY30+ days ago
You will help to add ambitious new technologies and capabilities to quantum processors such as novel gates and couplers, new readout and reset methods, improvements to coherence, and quantum transduction. Your expertise could span multiple fields including superconducting device theory, Hamiltonian simulations in large Hilbert spaces, electromagnetic simulation, and microwave engineering.
We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions. You will help conceptualize, prototype, and deploy user-facing experiences grounded in Generative AI, working collaboratively with engineering, design, and product to bring these capabilities to life in Firefox.
The Vice President, Data Scientist will serve on Chubb''s Global Analytics Risk Cohorts team, bringing advanced expertise in pricing modeling, product development, rating architecture, and model implementation for commercial insurance. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.
Required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading; visual inspection involving small defects, small parts, and/or operation of machines (including inspection); using measurement devices; and/or assembly or fabrication parts at distances close to the eyes. Build and validate steady‑state, dynamic, and EMT models of battery energy storage systems, power electronic converters including inverter‑based resources in grid forming / grid following modes, plant controllers, rotating machines and other power system components like transformers, power factor correction equipment etc.
Jersey City, NJ22 days ago
Your success will require you to collaborate with model developers and users across Risk, Finance, Operations, Digital, Marketing, Fair Lending, Technology, Control teams, Internal Audit, and bank regulators to ensure models are used appropriately and transparently in their business context. Execute comprehensive model reviews by evaluating conceptual soundness, assessing assumption reasonableness and input reliability, verifying implementation testing completeness, confirming numerical robustness, and justifying performance metrics and risk measures.
You will collaborate with model developers and users across Risk, Finance, Operations, Digital, Marketing, Fair Lending, Technology, Control teams, Internal Audit, and bank regulators to ensure models are used appropriately and transparently in their business context. Execute comprehensive model reviews by evaluating conceptual soundness, assessing assumption reasonableness and input reliability, verifying implementation testing completeness, confirming numerical robustness, and justifying performance metrics and risk measures.
p>As a Senior Product Associate in Trust & Security Authentication Platforms and Modeling, you contribute to the team by leveraging your expertise in product development and optimization to make a significant impact, supported by user research and customer feedback to fuel the creation of innovative products and continuously improve existing offerings. This role works at the intersection of data scientists, business, and technology and will focus on understanding user journey of authentication, identifying opportunities of customer interaction data, and developing strategy of AI/ML solution development and deployment.
Jersey City, NJ10 days ago
p>QUALIFICATIONS: Minimum education and experience required: PhD in Economics, Mathematics, Statistics, Data Science, Mathematical Finance, or related field of study plus 3 years of experience in the job offered or as Quant Modeling, Model Risk, Risk Advanced Analytics Specialist, or related occupation. The employer will alternatively accept a Master''s degree in Economics, Mathematics, Statistics, Data Science, Mathematical Finance, or related field of study plus 5 years of experience in the job offered or as Quant Modeling, Model Risk, Risk Advanced Analytics Specialist, or related occupation.